Related Experiment Video
Updated: Jun 12, 2026

09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Comparing trends in BMI and waist circumference.
Helen L Walls1, Christopher E Stevenson, Haider R Mannan
1Department of Epidemiology and Preventive Medicine, Monash University, Alfred Hospital, Victoria, Australia. helen.walls@med.monash.edu.au
Obesity (Silver Spring, Md.)
|June 19, 2010
Summary
Excess body weight is shifting towards central adiposity. Waist circumference is increasing disproportionately to Body Mass Index (BMI), suggesting BMI alone may underestimate obesity health risks.
Area of Science:
- Public Health
- Epidemiology
- Human Physiology
Background:
- Excess body weight is a growing public health concern.
- Central adiposity, indicated by waist circumference (WC), is linked to increased cardiovascular risk.
- Trends in Body Mass Index (BMI) may not fully capture changes in body fat distribution.
Purpose of the Study:
- To determine if BMI and WC are increasing proportionately across population subgroups.
- To examine trends in bodyweight and central adiposity over time.
- To assess the public health implications of changing body composition.
Main Methods:
- Analysis of two US National Health and Nutrition Examination Studies (NHANES) cross-sectional surveys (1988-1994 and 2005-2006).
- Inclusion of 15,349 participants (NHANES III) and 4,176 participants (2005-2006), all aged ≥20 years.
- Statistical adjustments for sex, age, race-ethnicity, and education.
Main Results:
- Between 1988-1994 and 2005-2006, mean BMI increased by 1.8 kg/m² and mean WC by 4.7 cm.
- The increase in WC was greater than explained by BMI increases alone, with an independent average increase of 0.9 cm.
- This independent WC increase was consistent across demographic groups and BMI categories, particularly in younger adults.
- Prevalence of low-risk WC decreased, while increased-risk WC prevalence rose across all BMI categories.
Conclusions:
- Waist circumference is increasing disproportionately to BMI, indicating a shift towards central adiposity.
- BMI trends alone may increasingly underestimate the adverse health consequences of obesity.
- Monitoring both BMI and WC is crucial for accurately assessing cardiovascular risk and public health strategies.
Related Concept Videos
Obesity
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
Wilcoxon Signed-Ranks Test for Matched Pairs
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

